Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation

Author:

Ahn Daehyun1,Kim Hyungjun1,Kim Taesu1,Park Eunhyeok2,Kim Jae-Joon3

Affiliation:

1. SqueezeBits Inc

2. Pohang University of Science and Technology

3. Seoul National University

Funder

Seoul National University

Publisher

IEEE

Reference39 articles.

1. mixup: Beyond empirical risk minimization;zhang;International Conference on Learning Representations,2018

2. DAIS: automatic channel pruning via differentiable annealing indicator search;guan;CoRR,2020

3. Understanding and robustifying differentiable architecture search;zela,2020

4. Sharpness-aware minimization for efficiently improving generalization;foret,2020

5. Regularizing Neural Networks via Adversarial Model Perturbation

Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Study of Rescaling Mechanism Utilization in Binary Neural Networks;Advances in Neural Computation, Machine Learning, and Cognitive Research VII;2023

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